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We use artificial neural networks to build deep learning applications for tasks like image recognition, text classification, and speech recognition. For image classification with fewer variations in training data and a small training data size, we can build an image classifier using a feedforward neural network (FNN).However, feedforward neural networks aren’t efficient in handling datasets ...
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